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Maede Hemmat

Maedeh Hemmat

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2020 – today

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2022
[j4]
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Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi:
CAP'NN: A Class-aware Framework for Personalized Neural Network Inference. ACM Trans. Embed. Comput. Syst. 21(5): 59:1-59:24 (2022)
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Maedeh Hemmat, Azadeh Davoodi, Yu Hen Hu:
$\text{Edge}^{n}$ AI: Distributed Inference with Local Edge Devices and Minimal Latency. ASP-DAC 2022: 544-549
2021
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Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi:
AirNN: A Featherweight Framework for Dynamic Input-Dependent Approximation of CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 2090-2103 (2021)
2020
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Maedeh Hemmat, Tejas Shah, Yuhua Chen, Joshua San Miguel:
CRANIA: Unlocking Data and Value Reuse in Iterative Neural Network Architectures. ASP-DAC 2020: 295-300
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Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi:
CAP'NN: Class-Aware Personalized Neural Network Inference. DAC 2020: 1-6

2010 – 2019

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2019
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Maedeh Hemmat, Azadeh Davoodi:
Power-efficient ReRAM-aware CNN model generation. Integr. 69: 369-380 (2019)
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Maedeh Hemmat, Azadeh Davoodi:
Dynamic Reconfiguration of CNNs for Input-Dependent Approximation. ISQED 2019: 176-182
2018
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Maedeh Hemmat, Azadeh Davoodi:
Power-Efficient ReRAM-Aware CNN Model Generation. ICCD 2018: 156-162
2017
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Maede Hemmat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Hybrid TFET-MOSFET circuit: A solution to design soft-error resilient ultra-low power digital circuit. Integr. 57: 11-19 (2017)
2016
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Maede Hemmat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Hybrid TFET-MOSFET circuits: An approach to design reliable ultra-low power circuits in the presence of process variation. VLSI-SoC 2016: 1-6
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Maedeh Hemmat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Robust Hybrid TFET-MOSFET Circuits in Presence of Process Variations and Soft Errors. VLSI-SoC (Selected Papers) 2016: 41-59

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